Scholarly Research Excellence
@article{(International Science Index):http://waset.org/publications/1686,
  title    = {A Hybrid CamShift and l1-Minimization Video Tracking Algorithm},
  author    = {Clark Van Dam and  Gagan Mirchandani},
  country   = {},
  institution={},
  abstract  = {The Continuously Adaptive Mean-Shift (CamShift)
algorithm, incorporating scene depth information is combined with
the l1-minimization sparse representation based method to form a
hybrid kernel and state space-based tracking algorithm. We take
advantage of the increased efficiency of the former with the
robustness to occlusion property of the latter. A simple interchange
scheme transfers control between algorithms based upon drift and
occlusion likelihood. It is quantified by the projection of target
candidates onto a depth map of the 2D scene obtained with a low cost
stereo vision webcam. Results are improved tracking in terms of drift
over each algorithm individually, in a challenging practical outdoor
multiple occlusion test case.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {7},
  number    = {1},
  year      = {2013},
  pages     = {75 - 82},
  ee        = {http://waset.org/publications/1686},
  url       = {http://waset.org/Publications?p=73},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 73, 2013},
}